
\begin{table}[htbp]
\begin{center}
\begin{scriptsize}
\begin{tabular}{l D{.}{.}{5.5} D{.}{.}{4.5} D{.}{.}{4.5}}
\toprule
 & \multicolumn{1}{c}{(1)} & \multicolumn{1}{c}{(2)} & \multicolumn{1}{c}{(3)} \\
\midrule
(Intercept)                           & -1.96^{*}   & -4.72^{***} & -0.73       \\
                                      & (1.03)      & (1.81)      & (1.44)      \\
lndura                                & -0.20^{***} & -0.08       & -0.35^{***} \\
                                      & (0.07)      & (0.11)      & (0.11)      \\
archdura1                             & 0.01        & 0.14^{***}  & 0.02        \\
                                      & (0.01)      & (0.03)      & (0.01)      \\
polity2                               & 0.08^{***}  & 0.05        & 0.09^{***}  \\
                                      & (0.01)      & (0.04)      & (0.02)      \\
e\_civil\_war                         & 0.22        & -0.90^{***} & 0.90^{***}  \\
                                      & (0.17)      & (0.32)      & (0.22)      \\
log(l.pop)                            & 0.08        & 0.13        & 0.04        \\
                                      & (0.05)      & (0.08)      & (0.07)      \\
log(l.gdp.pcap)                       & -0.10       & -0.06       & -0.10       \\
                                      & (0.07)      & (0.14)      & (0.10)      \\
as.factor(region23)Central America    & 0.31        & 0.66        & 0.45        \\
                                      & (0.34)      & (0.51)      & (0.49)      \\
as.factor(region23)Central Asia       & -2.14^{**}  &             & -2.35^{**}  \\
                                      & (1.05)      &             & (1.08)      \\
as.factor(region23)Eastern Africa     & -0.80^{**}  & -0.74       & -1.28^{***} \\
                                      & (0.36)      & (0.63)      & (0.46)      \\
as.factor(region23)Eastern Asia       & -0.13       & -0.14       & 0.18        \\
                                      & (0.45)      & (0.74)      & (0.60)      \\
as.factor(region23)Eastern Europe     & 0.24        & 0.69        & -0.31       \\
                                      & (0.37)      & (0.55)      & (0.70)      \\
as.factor(region23)Middle Africa      & -0.75^{*}   & -0.96       & -1.07^{**}  \\
                                      & (0.40)      & (1.19)      & (0.47)      \\
as.factor(region23)Northern Africa    & -0.56       & 1.64        & -0.76       \\
                                      & (0.42)      & (1.38)      & (0.50)      \\
as.factor(region23)Northern Europe    & 1.47^{***}  & 1.97^{***}  &             \\
                                      & (0.49)      & (0.63)      &             \\
as.factor(region23)South America      & 0.24        & 0.64        & 0.16        \\
                                      & (0.32)      & (0.51)      & (0.45)      \\
as.factor(region23)South-Eastern Asia & -0.35       & 0.51        & -0.90^{*}   \\
                                      & (0.35)      & (0.61)      & (0.47)      \\
as.factor(region23)Southern Africa    & -0.59       & -1.26^{*}   & -0.50       \\
                                      & (0.41)      & (0.72)      & (0.52)      \\
as.factor(region23)Southern Asia      & 0.04        & 0.65        & -0.21       \\
                                      & (0.36)      & (0.63)      & (0.48)      \\
as.factor(region23)Southern Europe    & 0.51        & 0.96        & 0.24        \\
                                      & (0.43)      & (0.60)      & (0.85)      \\
as.factor(region23)Western Africa     & -0.41       & -1.54^{**}  & -0.41       \\
                                      & (0.33)      & (0.67)      & (0.42)      \\
as.factor(region23)Western Asia       & -0.06       & 1.26^{**}   & -0.73       \\
                                      & (0.37)      & (0.64)      & (0.49)      \\
year1                                 & 0.07        & 0.17        & 0.08        \\
                                      & (0.07)      & (0.12)      & (0.09)      \\
year2                                 & -0.00       & -0.01       & -0.01       \\
                                      & (0.00)      & (0.01)      & (0.01)      \\
year3                                 & 0.00        & 0.00        & 0.00        \\
                                      & (0.00)      & (0.00)      & (0.00)      \\
\midrule
AIC                                   & 2354.45     & 1041.81     & 1272.77     \\
BIC                                   & 2505.21     & 1158.72     & 1408.45     \\
Log Likelihood                        & -1152.23    & -496.91     & -612.38     \\
Deviance                              & 2304.45     & 993.81      & 1224.77     \\
Num. obs.                             & 3072        & 964         & 2108        \\
\bottomrule
\multicolumn{4}{l}{\tiny{$^{***}p<0.01$; $^{**}p<0.05$; $^{*}p<0.1$}}
\end{tabular}
\end{scriptsize}
\caption{Predicted probability of leadership failure: all countries, democracies, and non-democracies}
\label{tab:archfail}
\end{center}
\end{table}
